湖北农业科学 ›› 2021, Vol. 60 ›› Issue (23): 143-147.doi: 10.14088/j.cnki.issn0439-8114.2021.23.032

• 检测分析 • 上一篇    下一篇

基于挥发性风味成分的湖北绿茶产地判别

王雪萍, 郑鹏程, 高士伟, 叶飞, 王胜鹏   

  1. 湖北省农业科学院果树茶叶研究所/湖北省农业科技创新中心果茶分中心/湖北省茶叶工程技术研究中心,武汉 430064
  • 收稿日期:2021-09-14 出版日期:2021-12-10 发布日期:2021-12-21
  • 作者简介:王雪萍(1979-),女,四川彭州人,副研究员,硕士,主要从事茶叶加工及栽培研究,(电话)02787770592(电子信箱)wangxueping_2009@126.com。
  • 基金资助:
    湖北省农业科技创新中心创新团队项目(2019-620-000-001-24); 国家茶叶产业技术体系项目(CARS-19)

Origin discrimination of Hubei green tea based on the volatile flavor compounds

WANG Xue-ping, ZHENG Peng-cheng, GAO Shi-wei, YE Fei, WANG Sheng-peng   

  1. Institute of Fruit & Tea,Hubei Academy of Agricultural Sciences/Fruit and Tea Subcenter,Hubei InnovationCenter of Agricultural Science and Technology/Hubei Tea Engineering and Technology Research Centre,Wuhan 430064,China
  • Received:2021-09-14 Online:2021-12-10 Published:2021-12-21

摘要: 采用气相色谱-质谱对湖北不同茶区的40份名优绿茶进行挥发性组分分析。结果表明,40份绿茶共检出71种挥发性物质,鄂西武陵山及宜昌三峡茶区、鄂西北秦巴山茶区、鄂东大别山茶区分别鉴定出5种、3种、6种特征性挥发性物质。采用偏最小二乘法判别分析,可将不同茶区绿茶样品初步区分。通过逐步判别分析,可将不同茶区绿茶样品有效区分,橙花醇、顺-橙花叔醇、邻氨基苯甲酸甲酯等13种挥发性物质先后被引入判别模型,所建立的判别模型正确判别率为100.00%,交叉验证判别率为97.50%。

关键词: 茶, 挥发性成分, 产地判别, 差异分析

Abstract: The volatile components of 40 famous green tea samples in different tea areas in Hubei province were analyzed by gas chromatography-mass spectrometry (GC-MS). The results showed that 71 volatile compounds were detected from 40 green tea samples. Five, three and six characteristic volatile components were identified in Wuling Mountain and Yichang Three Gorges tea area in western Hubei , Qinba Mountain tea area in northwest Hubei , Dabie Mountain in eastern Hubei. 40 tea samples from different areas could be distinguished preliminary by partial least squares discriminant analysis(PLS-DA), and distinguished effectively based on the stepwise discriminant analysis. 13 volatile compounds, such as Nerol, cis-nerolidol, 2-aminobenzoic acid methyl ester, were introduced into the discrimination model. The correct rate of the established discrimination model was 100.00%, and the cross-verification discrimination rate was 97.50%.

Key words: tea, volatile compounds, origin discrimination, comparative analysis

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